The Influence of Advanced Age, Obesity and Diabetes Type on Course and Outcome of Pregnancy With Diabetes Mellitus.

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The prevalence of obesity and metabolic diseases (such as type 2 diabetes mellitus, dyslipidaemia, and cardiovascular diseases) has increased in recent years, in both industrialized and developing countries. Diabetes mellitus (DM) is one of the most common disorders which occurred during pregnancy. ...

The prevalence of obesity and metabolic diseases (such as type 2 diabetes mellitus, dyslipidaemia, and cardiovascular diseases) has increased in recent years, in both industrialized and developing countries. Diabetes mellitus (DM) is one of the most common disorders which occurred during pregnancy. Approximately 15% of pregnancies worldwide are thought to be affected by preexisting or gestational insulin-dependent (type 1) or independent (type 2) diabetes mellitus (DM). The utility of mid- and third trimester ultrasound parameters will be assessed for prediction of intrapartal events and perinatal outcomes in patients with diabetes mellitus. The importance of mid-trimester uterine artery blood flow and foetal biometry will be investigated for prediction of intrapartal events and perinatal outcomes in patients with diabetes mellitus. Moreover, an investigation of the utility of third trimester (measured at 30 and 34 weeks of gestation) ultrasound scan will be carried out for prediction of intrapartal events and perinatal outcomes in patients with diabetes mellitus. Additionally, researchers will assess the relationship between the cerebro-placental ratio (CPR) and intrapartum and perinatal outcomes in pregnancies complicated by different types of Diabetes mellitus to determine if the CPR measured at 30 and 34 weeks of gestation is predictive of adverse obstetric and perinatal outcomes. At the end, investigators will evaluate the role of the addition of the UAPI to the CPR, alone or as CPUR [cerebro-placental-uterine ratio (CPUR)], in the improvement of the ability of CPR to predict APO at the end of pregnancy in any subgroup of diabetic patients. Finally, this project will enable precise intervention and resource saving as well as provide evidence for preventable targets development.

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